Probability Qs random sample + w/standard deviation

In summary, the first question involves finding the probability of exactly 8 out of 25 people being colorblind in a population where 10% are colorblind. The suggested method is to use the Poisson Probability formula for various values of x. For the second question, the task is to find the cholesterol value, x, for which 90% of the population have values greater than x. The suggested method is to convert to a standard normal distribution and use the appropriate z-score to find the corresponding value for x. However, the correct answer for the second question is 174.4, not 224.
  • #1
brunettegurl
138
0
Hi

1) Suppose that it is known that in a certain large population,10%of is is colourblind. If a random sample of 25 people is drawn from the population, find the probability that exactly 8 of them are colourblind.

My Take: is to use the Poisson Probability: f(x)= (e^-[tex]\lambda[/tex])* [tex]\lambda[/tex] x/x! where [tex]\lambda[/tex]= 0.1 and do it for x=1,2,3...till 8
Im not sure if my take is correct.

2) Supposse that the cholesterol values for a certain population are approx. normally w/mean=200 and standard deviation 20. 90% of the population have cholesterol values greater than x. Find x

My Take: 0.90= P(X[tex]\leq[/tex]x)
0.90= P(X-200/20[tex]\leq[/tex]x-200/20)
0.90=P(z[tex]\leq[/tex]x-200/20)

z0.90=1.20
x= 20*z0.90+ 200
=224

the answer should be 174.4

any help would be appreciated

Thanks
 
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  • #2
For question 1, binomial would be exact. [25!/(8!17!)].18.917

For question 2, the question was "greater than". Your answer is for "less than".
 

1. What is a random sample in probability?

A random sample in probability refers to a subset of a larger population that is selected in a way that each member of the population has an equal chance of being chosen. This is important because it allows for generalization of results from the sample to the entire population.

2. How is a random sample different from a biased sample?

A biased sample is one in which the selection process favors certain members of the population over others. This can lead to inaccurate or skewed results. In contrast, a random sample is chosen without any bias, ensuring that each member of the population has an equal chance of being selected.

3. What is the purpose of calculating standard deviation in probability?

Standard deviation is a measure of how spread out the data is in a sample or population. It is used in probability to understand the variability of a set of data and to make predictions about the likelihood of future outcomes.

4. How do you calculate standard deviation?

To calculate standard deviation, you first need to find the mean (average) of the data. Then, for each data point, subtract the mean and square the result. Find the sum of all squared differences, divide by the total number of data points, and then take the square root of this value. The result is the standard deviation.

5. Why is probability important in scientific research?

Probability is important in scientific research because it allows for the quantification of uncertainty and the prediction of future outcomes. It helps researchers make informed decisions and draw meaningful conclusions from their data. Additionally, probability is the foundation of statistical analysis, which is essential for interpreting and communicating research findings.

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